Conotoxin protein classification using pairwise comparison and amino acid composition

Nazar Zaki, Fadi Sibai, Piers Campbell

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)

    Abstract

    Conotoxin classification could assist in the study of the structure function relationship of ion-channels and receptors as well as identifying potential therapeutics in the treatment of a wide variety of diseases such as schizophrenia, chronic pain, cardiovascular and bladder dysfunction. In this study, we introduce a novel method (Toxin-AAM) for conotoxin su-perfamily classification. Toxin-AAM incorporates evolutionary information using a powerful means of pairwise sequence comparison and amino acid composition knowledge. The combination of the sequential model and the discrete model has made the Toxin-AAM method exceptional in classifying conotoxin superfamily, when compared to other state-of-the-art techniques.

    Original languageEnglish
    Title of host publicationGenetic and Evolutionary Computation Conference, GECCO'11
    Pages323-329
    Number of pages7
    DOIs
    Publication statusPublished - 2011
    Event13th Annual Genetic and Evolutionary Computation Conference, GECCO'11 - Dublin, Ireland
    Duration: Jul 12 2011Jul 16 2011

    Publication series

    NameGenetic and Evolutionary Computation Conference, GECCO'11

    Other

    Other13th Annual Genetic and Evolutionary Computation Conference, GECCO'11
    Country/TerritoryIreland
    CityDublin
    Period7/12/117/16/11

    Keywords

    • Amino acid composition
    • Conotoxin classification
    • Pairwise alignment

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Theoretical Computer Science

    Fingerprint

    Dive into the research topics of 'Conotoxin protein classification using pairwise comparison and amino acid composition'. Together they form a unique fingerprint.

    Cite this